Abstract
As different ways of Biometric Identification, palm print, palm veins and palm shapes identification have their own characteristics. The main stream of research is forming especially in the fields of none or low constraint conditions in this area. The palm print and shape is easy to be acquired to get pictures of high qualities by which we can make further research. However, under the same infrared band, one is hard to extract clear images of the hand veins of different individuals. This article is aim to solve this problem. Base on a method of multiband and multispectral palm print extracting, we could reach the aim letting quite a few people’s hand under permission. Considering the fact that the None/Low constraint condition extracting could break the parallel position between the hand and the imaging sensor and cause affine deformation. Using the outline of the palm to revise and uniform the hand, we can realize the correction registration and the normalization of the palm print image. The experimental result will prove the advantage of this method we implemented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gao, G.H., Zhang, G.S.: Human skin in vivo laser reflectance characteristic research. Laser Journal 12(5), 253–256 (1991)
Gao, J.M., Fu, C.H.: The pilot study on the skin to light reflection, transmission and absorption of regular. Chinese Journal of Lasers 14(7), 440–443 (1987)
Zhang, L.S.: He-Ne laser irradiation of biological tissue measurement of the optical parameters. Laser Journal 28(6), 87 (2007)
Xu, T., Zhang, C.H., Wang, X.Y.: Time-resolved reflection to determine the optical parameters of biological tissue. Optoelectronic Laser Journal 15(1), 108–112 (2004)
Chen, R., Chen, S.H., Liu, J.H.: Strongly scattering biological tissue optical parameters of the reconstruction. Hubei University Journal (Natural Science Edition) 28(1), 45–47 (2006)
Xie, S.H., Gong, W., Li, H.: Selective photothermolysis effect of biological tissue. Laser and Photonics Progress 8(41), 48–51 (2004)
Wan, W.B.: The study of palm vein image capture and recognition system. Shenyang University of Technology (2007)
Yuan, W.Q., Yang, G.T., Li, W.: The study of palm vein harvesting system based on wavelength selection. Laser and Infrared Journal 41(2), 234–239 (2011)
Zhang, D.P., Lu, G.M., Guo, Z.H.: Based on the palm vein and the palm print near-infrared imaging device and an identification method. China 200710144916 (2008)
Zhang, D.P., Lu, G.M., Guo, Z.H.: Online palm, palm vein image identification method and its special collection instrument. China 200710144914 (2008)
Yuan, W.Q., Sun, H.: Non-contact palm image capture light design. Application Research of Computers 28(5), 1965–1967 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yuan, W., Tang, Y., Fang, T. (2012). The Research of Multi-spectral Hand Texture Fusion Method under a Non-constraint Condition. In: Zheng, WS., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds) Biometric Recognition. CCBR 2012. Lecture Notes in Computer Science, vol 7701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35136-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-35136-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35135-8
Online ISBN: 978-3-642-35136-5
eBook Packages: Computer ScienceComputer Science (R0)